Plotting a Better Beer with Geolocation: An Untappd Case Study
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Greg Avola, co-founder and CTO of Untappd, presented on how geolocation helps their mobile beer check-in service. Untappd allows users to check-in and review beers they drink to build a social network around beer. By geotagging check-ins, Untappd can show users nearby beers, local trends and recommendations. This has helped Untappd grow its userbase and given insights into beer popularity in different markets. Avola discussed the technical tools like MongoDB that Untappd uses to power geolocation features and analytics.
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To and Fro
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*apologies about the giant size of the file - we just like images so much . . .
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With the recent emergence of DevOps across the industry, testing organizations are being challenged to transform themselves significantly within a short period of time to stay meaningful within their organizations. It’s not easy to plan and approach these changes considering the way testing organizations have remained structured for ages. These challenges start from foundational organizational structures and can cut across leadership influence, competencies, tools strategy, infrastructure, and other dimensions. Sumit Kumar shares his experience assisting various organizations to overcome these challenges using an organized DevOps enablement framework. The framework includes radical restructuring, turning the tools strategy upside down, a multidimensional workforce enablement supported by infrastructure changes, redeveloped collaborations models, and more. From his real world experiences Sumit shares tips for approaching this journey and explains the roadmap for testing organizations to transform themselves to lead the quality in DevOps.
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As teams grow, organizations often draw a distinction between feature teams, which deliver the visible business value to the user, and component teams, which manage shared work. Steve Berczuk says that this distinction can help organizations be more productive and scale effectively, but he recognizes that not all shared work fits into this model. Some work is best handled by “specialists,” that is people with unique skills. Although teams composed entirely of T-shaped people is ideal, certain skills are hard to come by and are used irregularly across an organization. Since these specialists often need to work closely with teams, rather than working from their own backlog, they don’t fit into the component team model. The use of shared resources presents challenges to the agile planning model. Steve Berczuk shares how teams such as those providing infrastructure services and specialists can fit into a feature+component team model, and how variations such as embedding specialists in a scrum team can both present process challenges and add significant value to both the team and the larger organization.
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A hierarchy is an organizational network that has a top and a bottom, and where position is determined by rank, importance, and value. A holarchy is a network that has no top or bottom and where each person’s value derives from his ability, rather than position. As more companies seek the benefits of agile, leaders need to build and sustain delivery capability while scaling agile without introducing unnecessary process and overhead. The Agile Performance Holarchy (APH) is an empirical model for scaling and sustaining agility while continuing to deliver great products. Jeff Dalton designed the APH by drawing from lessons learned observing and assessing hundreds of agile companies and teams. The APH helps implement a holarchy—a system composed of interacting organizational units called holons—centered on a series of performance circles that embody the behaviors of high performing agile organizations. Jeff describes how APH provides guidelines in the areas of leadership, values, teaming, visioning, governing, building, supporting, and engaging within an all-agile organization. Join Jeff to see what the APH is all about and how you can use it in your team and organization.
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DevOps is a cultural shift aimed at streamlining intergroup communication and improving operational efficiency for development and operations groups. Over time, inclusion of other IT groups under the DevOps umbrella has become the norm for many organizations. But even broadening the boundaries of DevOps, the conversation has been largely devoid of the business units’ place at the table. A common mistake organizations make while going through the DevOps transformation is drawing a line at the IT boundary. If that occurs, a larger, more inclusive silo within the organization is created, operating in an informational vacuum and causing operational inefficiency and goal misalignment. Sharing his experiences working on both sides of the fence, Leon Fayer describes the importance of including business units in order to align technology decisions with business goals. Leon discusses inclusion of business units in existing agile processes, benefits of cross-departmental monitoring, and a business-first approach to technology decisions.
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DevOps is transforming software development with many organizations adopting lean development practices, implementing continuous integration (CI), and performing regular continuous deployment (CD) to their production environments. However, the database is largely ignored and often seen as a bottleneck in the DevOps process. Steve Jones discusses the challenges of database development and why many developers find the database to be an impediment to the CD process. Steve shares the techniques you can use to fit a database into the DevOps process. Learn how to store database code in a version control system, and the differences between that and application code. Steve demonstrates a CI process with SQL code and uses automated testing frameworks to check the code. Steve then shows how automated releases with manual gates can reduce the stress and risk of database deployments while ensuring consistent, reliable, repeatable releases to QA, UAT, and production.
Mobile Testing: What—and What Not—to Automate
Organizations are moving rapidly into mobile technology, which has significantly increased the demand for testing of mobile applications. David Dangs says testers naturally are turning to automation to help ease the workload, increase potential test coverage, and improve testing efficiency. But should you try to automate all things mobile? Unfortunately, the answer is not always clear. Mobile has its own set of complications, compounded by a wide variety of devices and OS platforms. Join David to learn what mobile testing activities are ripe for automation—and those items best left to manual efforts. He describes the various considerations for automating each type of mobile application: mobile web, native app, and hybrid applications. David also covers device-level testing, types of testing, available automation tools, and recommendations for automation effectiveness. Finally, based on his years of mobile testing experience, David provides some tips and tricks to approach mobile automation. Leave with a clear plan for automating your mobile applications.
Cultural Intelligence: A Key Skill for Success
Diversity is becoming the norm in everyday life. However, introducing global delivery models without a proper understanding of intercultural differences can lead to difficulty, frustration, and reduced productivity. Priyanka Sharma and Thena Barry say that in our diverse world, we need teams with people who can cross these boundaries, communicate effectively, and build the diverse networks necessary to avoid problems. We need to learn about cultural intelligence (CI) and cultural quotient (CQ). CI is the ability to relate and work effectively across cultures. CQ is the cognitive, motivational, and behavioral capacity to understand and respond to beliefs, values, attitudes, and behaviors of individuals and groups. Together, CI and CQ can help us build behavioral capacities that aid motivation, behavior, and productivity in teams as well as individuals. Priyanka and Thena show how to build a more culturally intelligent place with tools and techniques from Leading with Cultural Intelligence, as well as content from the Hofstede cultural model. In addition, they illustrate the model with real-life experiences and demonstrate how they adapted in similar circumstances.
Turn the Lights On: A Power Utility Company's Agile Transformation
Why would a century-old utility with no direct competitors take on the challenge of transforming its entire IT application organization to an agile methodology? In an increasingly interconnected world, the expectations of customers continue to evolve. From smart meters to smart phones, IoT is creating a crisis point for industries not accustomed to rapid change. Glen Morris explains that pizzas can be tracked by the minute and packages at every stop, and customers now expect this same customer service model should exist for all industries—including power. Glen examines how to create momentum and transform non-IT-focused industries to an agile model. If you are struggling with gaining traction in your pursuit of agile within your business, Glen gives you concrete, practical experiences to leverage in your pursuit. Finally, he communicates how to gain buy-in from business partners who have no idea or concern about agile or its methodologies. If your business partners look at you with amusement when you mention the need for a dedicated Product Owner, join Glen as he walks you through the approaches to overcoming agile skepticism.
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As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
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Developing Distributed High-performance Computing Capabilities of an Open Sci...
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Understanding Globus Data Transfers with NetSage
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
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How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?
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To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
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Plotting a Better Beer with Geolocation: An Untappd Case Study
- 1. T4 Session 4/16/2015 1:00 PM "Plotting a Better Beer with Geolocation: An Untappd Case Study" Presented by: Greg Avola Untappd Brought to you by: 340 Corporate Way, Suite 300, Orange Park, FL 32073 888-‐268-‐8770 ·∙ 904-‐278-‐0524 ·∙ sqeinfo@sqe.com ·∙ www.sqe.com
- 2. Greg Avola Untappd Living in the craft beer haven of New York City, Greg Avola is the co-founder and CTO of Untappd, a mobile beer check-in service. Some people enjoy reading books, others enjoy watching movies, but Greg’s passion is to code. Being able to combine his passion for development and craft beer allowed Untappd to be born. To date Untappd has had more than 1.6 million users. In NYC Greg works full-time for ABC News on the technology team, which is responsible for ABCNews.com both on desktop and mobile.
- 3. Plotting a Better Beer with Geolocation An Untappd Case Study Greg Avola | Mobile Dev + Test Conference 2015 - San Diego, CA Who am I? @gregavola Greg Avola Live in NYC Day-time Job: Web Developer at ABC News (US) Night-time Job: CTO, Co-Founder of Untappd Loves: Data, Beer and Javascript
- 4. What is Untappd? A social discovery and sharing network for beer drinkers So how did this happen and what problem were your trying to solve?
- 5. It all started with a beer. Not really. But it sounded pretty poetic right?
- 6. People want to drink beer. People want to drink good beer.
- 8. Location Geotagging Beer Check- ins can solve this problem.
- 9. Why Geolocation for Untappd? Beer is distributed all over the world Customer want to be able find beer easily Providing this data to consumers, helps both sides grow Better tracking on trends Beat the market Recommendations based on Locale How it’s helped Untappd Grow Local Recommendations Local Trends Predicting Market Changes Local Benefits
- 10. Trending Styles IPA / Double IPA (1,200+) Stout (450+) Saison (340+) American Pale Ale (350+) Sours (260+) Time Based Analytics
- 11. Brand Popularity Ballast Point Stone Brewing Co Alpine Beer Company AleSmith Modern Times You’ve seen the benefits, now how do you get there?
- 12. Tools we Use Why MongoDB? Geospatial Indexes Performance and Speed Simple JSON Formatting Open Source Image Credit - http://code.tutsplus.com/tutorials/getting-started-with-mongodb-part-1--net-22879
- 13. Nearby Query Why Geolocation For You? Think Global, Act Local Attracts users from all over the world Data Opportunities Trends
- 14. Get Untappd for your device today...
- 15. THANK YOU AND ALWAYS DRINK SOCIALLY UNTAPPD.COM greg@untappd.com / @gregavola